Federated Dual Prompt Tuning: Overcoming Domain Shift and Improving Communication Efficiency in Federated Learning

Federated Dual Prompt Tuning (Fed-DPT) is a novel federated learning approach that leverages prompt tuning techniques for both visual and textual inputs to address the challenges of domain shift and communication efficiency in federated learning.